Senior AI / Machine Learning Engineer (NLP, OCR)

• Bachelor's degree or higher in computer science, mathematics, or a related field.
• Experience with DevOps, MLOps, or LLMOps tools and methodologies, such as Git, Docker, Kubernetes, Jenkins, Airflow, Kubeflow, etc.
• Proficiency in Python, SQL.
• Solid understanding of fundamental statistics, probability theory, and the scientific method.
• Experience in deploying machine learning models to production environments, including containerization (e.g., Docker) and orchestration tools (e.g., Kubeflow, MLflow), for batch and real-time inference.
• Strong software engineering principles, including modular code design, code optimization, and familiarity with software development best practices.
• Practical working experience with Azure cloud technologies (Azure AI) is a plus.
• Experience with MLOps to build production-ready pipelines.
• Strong English verbal and writtencommunication skills, with a high level of comfort explaining complex technical topics to stakeholders.

• Full salary and benefits as an official employee on probation.
• Hybrid working model
• Open and flat environment, highly appreciate your idea and constantly supporting your skill development.
• Innovative and international learning and development program, we dedicate to supporting employees’ growth and development of skills.
• Challenging products with onsite opportunities in Europe (Germany, Australia, Poland, etc.)
• 13th-month salary & short-term incentives: we offer incentives as defined by the company’s success in the previous year.
• 15+ annual leaves per year.
• Full healthcare compliance.
• Premium healthcare for employees.
• Gifts for every special occasion.
• Supportive working conditions: Laptop, MS Surface Hub.
• Free and unlimited snacks, tea, coffee, and by-choice request.
• Premium company trip & business traveling programs and other exciting activities.

Note: Only shortlisted candidates will be contacted. Thanks for your interest!